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Time Series Forecasting in Python (häftad, eng)
Produktbeskrivning
Master statistical models including new deep learning approaches for time series forecasting.
In Time Series Forecasting in Python you will learn how to:
- Recognize a time series forecasting problem and build a performant predictive model
- Create univariate forecasting models that account for seasonal effects and external variables
- Build multivariate forecasting models to predict many time series at once
- Leverage large datasets by using deep learning for forecasting time series
- Automate the forecasting process
DESCRIPTION
Every model you create is relevant, useful, and easy to implement with Python. You''ll explore interesting real-world datasets like Google''s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions.
You''ll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code.
about the technology
Time series forecasting reveals hidden trends and makes predictions about the future from your data.This powerful technique has proven incredibly valuable across multiple fields—from tracking business metrics, to healthcare and the sciences. Modern Python libraries and powerful deep learning tools have opened up new methods and utilities for making practical time series forecasts.
about the book
Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions.You''ll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code. Test your skills with hands-on projects for forecasting air travel, volume of drug prescriptions, and the earnings of Johnson & Johnson.
By the time you''re done, you''ll be ready to build accurate and insightful forecasting models with tools from the Python ecosystem.
| Format | Häftad |
| Omfång | 456 sidor |
| Språk | Engelska |
| Förlag | Manning Publications |
| Utgivningsdatum | 2022-11-10 |
| ISBN | 9781617299889 |
Specifikation
Böcker
- Format Häftad
- Antal sidor 456
- Språk Engelska
- Utgivningsdatum 2022-11-10
- ISBN 9781617299889
- Förlag Manning Publications
Leverans
Vi levererar ditt paket med Budbee, Instabox och DB Schenker. Frakten kostar 49 kr men handlar du för över 499 kr är det fri frakt. De exakta leveranstiderna för varje produkt ser du direkt på produktsidan och i kassan. När din order skickats får du en spårningslänk via e-post eller SMS.
Betalning
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Retur & reklamation
Som privatkund har du 14 dagars ångerrätt enligt distansavtalslagen. Retur kostar 49 kr och bokas via kundtjänst innan du skickar tillbaka varan. Återbetalning sker alltid via samma betalmedel du använde vid köpet.
Du har 3 års reklamationsrätt enligt konsumentköplagen. Vid godkänd reklamation står vi för returfrakten. Kontakta oss på [email protected] om du vill göra en retur eller reklamation, så guidar vi dig genom processen.
Specifikation
Böcker
- Format Häftad
- Antal sidor 456
- Språk Engelska
- Utgivningsdatum 2022-11-10
- ISBN 9781617299889
- Förlag Manning Publications